53 search results - page 4 / 11 » Brain Inspired Reinforcement Learning |
NEUROSCIENCE
2001
Springer
14 years 8 days ago
2001
Springer
This volume is intended to help advance the field of artificial neural networks along the lines of complexity present in animal brains. In particular, we are interested in examin...
UC
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Dynamical structure in the brain promotes biological function. Natural scientists look for correlations between measured electrical signals and behavior or mental states....
IJON
2006
13 years 7 months ago
2006
In this work, we propose a variation of a direct reinforcement learning algorithm, suitable for usage with spiking neurons based on the spike response model (SRM). The SRM is a bi...
ICCS
2007
Springer
14 years 2 months ago
2007
Springer
New architectures for Brain-Machine Interface communication and control use mixture models for expanding rehabilitation capabilities of disabled patients. Here we present and test ...
ICML
1995
IEEE
14 years 8 months ago
1995
IEEE
In this paper we introduce Ant-Q, a family of algorithms which present many similarities with Q-learning (Watkins, 1989), and which we apply to the solution of symmetric and asymm...